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融合ARIMA模型和MCMC方法的非一致性设计洪水计算

董立俊 董晓华 马耀明 魏冲 喻丹 薄会娟

水资源与水工程学报2024,Vol.35Issue(2):1-11,20,12.
水资源与水工程学报2024,Vol.35Issue(2):1-11,20,12.DOI:10.11705/j.issn.1672-643X.2024.02.01

融合ARIMA模型和MCMC方法的非一致性设计洪水计算

Non-stationary design flood calculation via integrating ARIMA model and MCMC method

董立俊 1董晓华 1马耀明 2魏冲 1喻丹 1薄会娟1

作者信息

  • 1. 三峡大学 水利与环境学院,湖北 宜昌 443002||水资源安全保障湖北省协同创新中心,湖北 武汉 430070
  • 2. 中国科学院青藏高原研究所青藏高原地球系统科学国家重点实验室,北京 100101||兰州大学 大气科学学院,甘肃 兰州 730000||西藏珠穆朗玛特殊大气过程与环境变化国家野外科学观测研究站,西藏 定日 858200
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摘要

Abstract

Normal non-stationary hydrological frequency analysis methods are prone to subjectivity when selecting covariates and establishing the functional relationship between statistical parameters and covari-ates.Besides,these methods can only produce design flood estimations,lacking the ability of conducting simultaneous uncertainty analysis.To address the above shortcomings,the ARIMA-MCMC model was established by introducing the time-varying statistical parameters of the fitting period into the MCMC sam-pling process,then the parameter sampling for the non-stationary design flood frequency distribution mod-el was conducted under future climate change conditions.Based on the posterior distribution of the pa-rameters,the design flood frequency was calculated,and the corresponding confidence intervals were de-rived.Taking the Xiaodeshi Station in the Yalong River Basin as an example,the variation of design flood in the station under future climate change conditions was quantatively analyzed by ARIMA-MCMC model.The results show that the convergence effect of the parameter sampling based on ARIMA-MCMC method is excellent,and the values of D for all three scenarios are smaller than the critical value of 5%significance level.Except for the design values with P=0.1%and P=0.05%under scenario SSP2-4.5,the design daily maximum flow in other scenarios increased significantly compared to historical peri-ods,with the increases of 7.1%-10.5%and 13.9%-27.2%under the scenarios of SSP1-2.6 and SSP5-8.5,respectively.The ARIMA-MCMC method established in this study can effectively conduct the non-stationary design flood frequency analysis under changing conditions.

关键词

设计洪水/ARIMA模型/贝叶斯MCMC方法/非一致性/不确定性/洪水频率分析

Key words

design flood/ARIMA model/Bayesian MCMC method/non-stationary/uncertainty/flood frequency analysis

分类

天文与地球科学

引用本文复制引用

董立俊,董晓华,马耀明,魏冲,喻丹,薄会娟..融合ARIMA模型和MCMC方法的非一致性设计洪水计算[J].水资源与水工程学报,2024,35(2):1-11,20,12.

基金项目

第二次青藏高原综合科学考察研究项目(2019QZKK0103) (2019QZKK0103)

水电工程水文气象重大关键技术应用研究项目(DJ-ZDZX-016-02) (DJ-ZDZX-016-02)

水资源与水工程学报

OA北大核心CSTPCD

1672-643X

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